In the current rail transportation system, the intelligent subway has a good development prospect, and as a special transportation tool closely related to passenger travel, the safety of the escalator is particularly important, thus proposing an intelligent operation and maintenance system for escalators. The system consists of a line, center level system and an equipment, local end system, which monitors the operation status of the main mechanical parts of the escalator with the help of vibration, temperature, displacement sensors, and a modular data collector. Through intelligent diagnosis, expert models and algorithms, it realizes fault warnings and alerts the occurrence of accidents. The escalator's intelligent operation and maintenance system can also accurately locate the faults while doing early warning, which improves the maintenance efficiency and accuracy, reduces the labor cost, and is of great significance to strengthen the safety of the equipment and improve the operation and maintenance management. This paper analyzes the detailed cases of engineering applications and specifically discusses the system’s composition, functions, operation and maintenance platform, and early warning effect. Combined with the use of the Qingdao Metro Line 4 project, it demonstrates the significance and feasibility of the system in practical application.


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    Titel :

    Application Practice of Intelligent Operation and Maintenance System of Escalator in Qingdao Metro Line 4


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yang, Jianwei (Herausgeber:in) / Yao, Dechen (Herausgeber:in) / Jia, Limin (Herausgeber:in) / Qin, Yong (Herausgeber:in) / Liu, Zhigang (Herausgeber:in) / Diao, Lijun (Herausgeber:in) / Wang, Zetai (Autor:in) / Shi, Guangtian (Autor:in) / Luo, Qingping (Autor:in)

    Kongress:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2023 ; Beijing, China October 19, 2023 - October 21, 2023



    Erscheinungsdatum :

    09.01.2024


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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